Article detail · 2013
A Retrospective Study of Software Analytics Projects In Depth Interviews with Practitioners
- Year
- 2013
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue IEEE Software
- Catalog match (ISSN) IEEE Software
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Software analytics guide practitioners in decision making throughout the software development process. In this context, prediction models help managers efficiently organize their resources and identify problems by analyzing patterns on existing project data in an intelligent and meaningful manner. Over the past decade, the authors have worked with software organizations to build metric repositories and predictive models that address process-, product-, and people-related issues in practice. This article shares their experience over the years, reflecting the expectations and outcomes both from practitioner and researcher viewpoints.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
19 citations
OpenAlex cited_by_count (cache / database)
7 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Studying high impact fix inducing changes 2015
- Predicting defective modules in different test phases 2015
- Predicting defective modules in different test phases 2014
- Big data in software engineering: A systematic literature review 2016
- Lessons Learned from Software Analytics in Practice 2015
- Field Studies 2013
- A success story in applying data science in practice 2016